An open research approach to addressing critical problems in ecology and global change
Global environmental change is having a profound impact on ecosystems around the globe, with complex interactions at the interface of global change processes and ecological systems. Many of these changes, including climate change, resource exploitation, urbanization and disruption of biogeochemical cycles, are a direct result of human activity. Research on the ecological impacts of such changes is essential for safeguarding biodiversity and maintaining healthy ecosystems which provide crucial services, foundational to sustainable development and human well-being.
Through the open sharing of research and data, we can better understand the implications of global change for natural and human-modified ecosystems at local, regional, and global scales. Full transparency of research will support the development of evidence-based approaches to addressing critical problems and help to influence more effective policy changes which seek to address these issues.
This gateway aims to provide researchers, policymakers and practitioners with a dedicated space to openly discuss and share work related to all areas of ecology and global environmental change. This research includes a broad range of sub-topics and interdisciplinary areas, such as:
Biodiversity & Conservation
Ecosystem Services
Climate Change & Ecology
Macroecology
Animal and Behavioural Ecology
Molecular Ecology
Chemical Ecology & Biogeochemistry
Wildlife & Habitat Management
Habitat Degradation
Invasive Species
Biogeography
Population Dynamics
Ecosystem Restoration
Land Use & Management
Biological Resources
Urban Ecology
Agroecology
Conservation Policy
Political Ecology
Ecology Economics
Working towards the UN Sustainable Development Goals, specifically the Life on Land and Life Below Water initiatives, the Ecology and Global Change Gateway offers rapid and transparent publication alongside access to all underlying data.
Submission and publication process
The range of article types offered by F1000Research facilitates the dissemination of work as openly and quickly as possible through Data Notes, Policy Briefs, Methods, and Software Tools, as well as traditional Research and Review articles. Through this approach, the Ecology and Global Change gateway seeks to reduce barriers to collaborative research practices and ensure authors receive credit for their full range of work. Each publication will undergo fully transparent post-publication peer review following the F1000Research publication model. Before submitting, please read our data guidelines and information regarding our article processing charges.
The Ecology and Global Change gateway welcomes all articles relating to the areas listed above, as well as interdisciplinary research relating to these topics. To submit to the gateway simply click the “Submit to this Gateway” button on this page or select the gateway name from dropdown list in the article submission form.
International Journal of Environmental Science and Technology (IJEST) is an international scholarly refereed research journal which aims to promote the theory and practice of environmental science and technology, innovation, engineering and management.
A broad outline of the journal’s scope includes: original research articles, case and technical reports, reviews and analyses papers, short communications and notes to the editor, in interdisciplinary information on the practice and status of research in environmental science and technology, both natural and human made.
One of the most remarkable renewable energy applications is the floating photovoltaic (FPV) power plants in recent years. Although it reduces evaporation and increases solar energy production with the thermal cooling effect, determining the location for the installation of the facilities is a significant problem. There is a lack of a common methodology of evaluating the optimum deployment locations for FPV systems for micrositing of water reservoirs in anywhere in the world. Firstly, solar irradiance should be evaluated over the entire reservoir area because of the shading effects. There are also some dynamical constraints through the formation of extreme winds and water waves over the reservoir surface. Consideration of these restrictions provides a geographically suitable site location for FPV installation. In the present study, three essential natural constraints, namely solar irradiance, wind speed, and wave height, were analyzed over the reservoir of a dam located in the southwest of Turkey. The places where the insolation is high, and the wind speed and the wave height are both low in the entire reservoir area are spatially determined with this approachment, which is named as the FPV Convenient Reservoir Surface (FPV-CRS). The goal of this research is to offer a new methodology including essential guideline for micrositing of the FPV facilities.
Metal plating industry wastewater is a highly toxic wastewater due to its heavy metal and cyanide. This characteristic of wastewater is due to different types of processes used in the metal plating industry. In order to meet discharge limits for the receiving environment, classical chemical treatment methods are widely applied in this type of industry. Consequently, high treatment chemicals are required, resulting in excessive amounts of hazardous sludge. For these reasons, in this study, a pilot scale electrocoagulation (EC) process was developed as an alternative to the conventional chemical treatment currently applied in a metal plating plant. In this study, the effect of pH adjustment on the removal efficiency of the EC process was investigated before and after EC processing in a pilot scale reactor. Particularly, two heavy metals such as copper (Cu) and nickel (Ni), which are problematic to be eliminated in the current treatment, removals were invesigated. With the optimization studies, it was observed that Cu and Ni removals were over 93.75%. Similarly, Cu and Ni removal efficiencies were determined over 95% in the optimization of the EC process after pH adjustment. Indeed, these efficiencies were also achieved in the control study. As a result of the optimization of the study, model analyses were made with response surface methodology and it was observed that the regression coefficients were > 94.00% which were within the 95% confidence interval. This indicated that both the real operating conditions and the results obtained from the model are consistent with each other.
Arsenic is a toxic metalloid that enters the environment through natural and anthropogenic sources. A small amount of arsenic remains in living organisms, but its exposure at elevated concentrations is hazardous and thus creates a toxic effect. Evidence has shown that the level of arsenic in Bangladeshi foodstuffs is higher than the permissible limits set by the World Health Organization and other regulatory bodies in Bangladesh. Previously published reports show that the transport and abundance of arsenic create potential threats to the fresh and processed products of Bangladesh. However, monitoring and assessment of arsenic toxicity in the exposure sources are lacking. Although severe contamination of arsenic in the environmental matrices and numerous foodstuffs has been summarized, a perilous appraisal concerning trophic transfer and arsenic exposure through environmental matrices in Bangladesh has not yet been accomplished. This review critically discussed arsenic pollution, exposure toxicity, unexploited research gaps and prevailing legislation for pollution control. This study also highlighted the potential transfer of arsenic within the food webs, and sustainable strategies for arsenic pollution control to enhance food safety as a vital issue in Bangladesh. Furthermore, the current review urgently recommends formulating a conceptual policy framework to combat arsenic contamination in Bangladesh’s environment.
The groundwater vulnerability assessment is an effective measure to analyse potential quality of available water in increasingly populated and industrial areas in plain topography. The objective of this research was to evaluate contamination susceptibility and its spatial modelling in district Sheikhupura, using fuzzy logic and Bayesian interpolation method for adjusted DRASTIC model and HVF (hazard vulnerability factor) model. The present research espoused a specific factor-based approach to model the existing contamination rate of heavy metals with underplaying DRASTIC parameters for estimated pollution rate and related vulnerability. The modifications were also applied in ranks and weights by analysing the association of parameters with respect to heavy metals (Cr, Cd, Pb). The heavy metals concentrations in groundwater were evaluated at the 54 different random sites of water pumps. The heavy metals concentration was used to identify risk of pollution associated with aquifer and soil type. The adjusted DRASTIC model was analysed for groundwater vulnerability by using different parameters including, aquifer media, net recharge, soil type, hydraulic conductivity, topography and depth of water table. It was assessed by using EC, TDS, hardness, heavy metals and COD, BOD parameters. The results showed the vulnerability areas and modelled efficiently at spatial scale than conventional DRASTIC model. The very high vulnerability zone is 10.75% with > 200 drastic values; however, main study area is covered with moderate vulnerability class (42.49%). Most of the effluent-irrigated and neighbouring agricultural sites were located around the high and relatively high-risk areas 11.56% to 20.29% areas, which may raise risk of chemicals and pesticides seepage in the groundwater.
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Petrochemical companies especially those with olefin plant have a considerable negative effect on air quality, environment and people health. Therefore, measurement of emission rates of pollutants and their dispersion is required to determine policies and restrictions on pollutant emissions. In this investigation, the concentrations of some perilous pollutants such as CO, NOx and SO2 from seven active stacks of an olefin plant for all seasons of a year were measured. This olefin plant is located in one of the most important industrial centers in south of Iran called Petrochemical Special Economic Zone (PSEZ). Moreover, in all residential areas near the PSEZ, AERMOD model and WRF model were utilized for dispersion modeling and predicating the concentration of pollutants released in atmosphere from the stacks. Measurement results showed that the highest amount of pollutant emitted by the stack is NOx, and as a result, the emission rates of NOx in different seasons are significantly higher than the emission rates of CO and SO2. Moreover, according to the dispersion modeling and meteorological data, the direction of movement and development of concentration contours are toward the southwest and against the direction of residential areas. This is due to the prevailing wind directions in all seasons. Finally, in comparison with WHO (World Health Organization) air quality guideline values, the concentration of CO and SO2 was higher than the guideline values in Sarbandar in summer, fall and winter seasons as a consequence of short distance between this residential area and the sources of pollutants emission. Also, the concentration of NOx is considerably higher than the guideline values in the all residential areas during a year.
